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Entry Level Python Data Science Jobs in Hartford, CT

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

Python Tutor

Hartford, CT · Remote

$40/hr

... students for data science, web development, automation, and computer science coursework ... Familiar with Python curricula at introductory through advanced levels and common challenges such ...

Data Scientist

Hartford, CT · On-site +1

$90K - $135K/yr

... science team responsible for designing and delivering powerful analytical insights utilizing ... Use R and/or Python to build, maintain, and support loss models across different lines of business

Role: Data Scientist Location/s: Hartford, CT (or) Stamford, CT (or) Morristown, NJ [Hybrid] (or ... Candidates must possess extensive experience with Python, large language models (LLMs), machine ...

... Science • Experience with machine learning, AI, and cognitive service engine models • ... SQL, Python, R, and Scala • Using analytics software and platforms (GA, GTM, SPSS, Excel ...

GenAI Data Engineer

Hartford, CT · Remote

$117K - $140K/yr

Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted ... Tune complex SQL queries and Python-based processing jobs to handle petabyte-scale environments ...

GenAI Data Engineer

Hartford, CT

$115K - $138K/yr

Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted ... Tune complex SQL queries and Python-based processing jobs to handle petabyte-scale environments ...

GenAI Data Engineer

Hartford, CT · On-site +1

$115K - $138K/yr

Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted ... Tune complex SQL queries and Python-based processing jobs to handle petabyte-scale environments ...

Lead Python Developer

Hartford, CT · Remote

$141K - $173K/yr

Lead Python Developer Location: Hartford, Connecticut, United States (Can try remote too) Contract ... The developers will work closely with data science engineering and business stakeholders to deliver ...

... Python and Java to enhance AI model deployment - Overseeing the creation and maintenance of data ... Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics ...

Python Developer

Hartford, CT · On-site

$50.75 - $69.75/hr

... data science|PYTHON Technical Skills 2 Technology|OpenSystem|Python - OpenSystem Overview The Infosys Healthcare unit is dedicated to transforming the healthcare industry by leveraging cutting-edge ...

Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time ...

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Entry Level Python Data Science information

See Hartford, CT salary details

$13

$59

$87

How much do entry level python data science jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for entry level python data science in Hartford, CT is $59.13, according to ZipRecruiter salary data. Most workers in this role earn between $48.75 and $67.16 per hour, depending on experience, location, and employer.

What are some common challenges faced by entry-level Python data scientists when starting out, and how can they be addressed?

Entry-level Python data scientists often encounter challenges such as managing large datasets, understanding the nuances of real-world data (like missing or inconsistent values), and effectively communicating technical findings to non-technical stakeholders. To address these challenges, it's helpful to develop strong data cleaning skills, practice using libraries like pandas and scikit-learn, and focus on improving data visualization and storytelling abilities. Additionally, seeking feedback from more experienced team members and participating in collaborative projects can accelerate learning and help overcome early hurdles.

What is an entry level Python data scientist?

An entry level Python data scientist is a professional who uses Python programming language to analyze, interpret, and visualize data, typically in the early stages of their data science career. They are responsible for collecting, cleaning, and preparing data, performing basic statistical analyses, and building simple machine learning models under supervision. These roles often require proficiency in Python libraries like pandas, NumPy, and scikit-learn, as well as good problem-solving skills. Entry level data scientists may work in industries such as finance, healthcare, marketing, or technology to help organizations make data-driven decisions.

What are the key skills and qualifications needed to thrive as an Entry Level Python Data Scientist, and why are they important?

To thrive as an Entry Level Python Data Scientist, you need a strong understanding of statistics, data analysis, and proficiency in Python programming, typically supported by a relevant degree or coursework. Familiarity with data science libraries (such as pandas, NumPy, and scikit-learn), data visualization tools, and basic SQL is commonly required. Analytical thinking, problem-solving, and effective communication help you interpret data and present findings clearly. These skills ensure you can extract meaningful insights from data, collaborate effectively, and contribute to data-driven decision-making.

What is the difference between Entry Level Python Data Science vs Entry Level Data Analyst?

AspectEntry Level Python Data ScienceEntry Level Data Analyst
Required SkillsPython, SQL, statistics, machine learning basicsExcel, SQL, data visualization, basic statistics
CertificationsPython programming, data science fundamentalsExcel certifications, basic data analysis courses
Work EnvironmentTech companies, startups, data-driven teamsBusiness departments, marketing, finance teams
Common UsageBuilding models, data cleaning, predictive analyticsReporting, data visualization, trend analysis

Entry Level Python Data Science roles focus on programming, machine learning, and predictive modeling, often requiring Python and statistical knowledge. Entry Level Data Analyst positions emphasize data reporting, visualization, and basic analysis using tools like Excel and SQL. Both roles are common in various industries, but Python Data Science roles typically involve more technical and coding skills, while Data Analyst roles focus on interpreting data for business insights.

What are the most commonly searched types of Python Data Science jobs in Hartford, CT? The most popular types of Python Data Science jobs in Hartford, CT are:
What job categories do people searching Entry Level Python Data Science jobs in Hartford, CT look for? The top searched job categories for Entry Level Python Data Science jobs in Hartford, CT are:
Infographic showing various Entry Level Python Data Science job openings in Hartford, CT as of June 2026, with employment types broken down into 87% Full Time, 2% Part Time, and 11% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $122,995 per year, or $59.1 per hour.

$115K - $138K/yr

Contractor

Posted 14 hours ago


Job description

Job Description:
We are looking for a skilled Python Data Engineer with hands-on experience in Azure, PySpark, and Databricks, specifically within the insurance domain. This is a hybrid, long-term contract position requiring a mix of remote and onsite work in either Hartford, CT or Charlotte, NC. The ideal candidate will be responsible for building, optimizing, and maintaining data pipelines and supporting data-driven decision-making across the organization.
Key Responsibilities:
  • Design and develop scalable and robust data pipelines using PySpark and Python.
  • Leverage Azure Data Services (e.g., Azure Data Factory, Azure Data Lake, Azure Synapse) for data integration and transformation.
  • Utilize Databricks for distributed data processing, data wrangling, and advanced analytics.
  • Ensure data quality, integrity, and compliance with data governance and security policies.
  • Collaborate with cross-functional teams, including business analysts, data scientists, and application developers.
  • Participate in performance tuning, troubleshooting, and optimization of data workflows.
  • Translate business requirements into technical specifications, especially within the insurance industry context.
  • Develop and maintain documentation for data pipelines and architecture.